6 meilleures offres (stack developer) (à pourvoir)

Software Engineer II, AI Scheduling
Google —Zürich, ZH
- 100%
- Java
- Niveau Master
- C++
il y a 2 jours
Full-Stack Software Developer (IT-CA-OSI-2026-207-GRAE)
CERN —Genève, GE
- De 5 266 CHF à 5 793 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Anglais
- Formation sur place
Postuler rapidement
il y a 4 jours
AI Platform Engineer
Frontiers Media —Lausanne, VD
- 100%
- Travail hybride
- Conception de systèmes
- Niveau Master
Postuler rapidement
il y a 5 jours
Backend Engineer (VPN)
Proton AG —Genève, GE
- De 53 000 CHF à 104 000 CHF par an
- De garde
- SQL
- Esprit d'analyse
- Leadership
il y a 1 jour
Full Stack Software Developer (m/w)
REGO-FIX AG —Tenniken, BL
- 100%
- Java
- SQL
il y a 2 jours
Staff Backend Engineer
Nango —Suisse
- De 140 000 CHF à 220 000 CHF par an
- 100%
- Télétravail
- Bases de données
- AWS
- Compétences en communication

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Full-Stack Software Developer (IT-CA-OSI-2026-207-GRAE)
CERN —Genève, GE
Experience in full-stack software development and with frontend and backend software engineering technologies.
De 5 266 CHF à 5 793 CHF par mois
Postuler rapidement
il y a 4 jours

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Software Engineer II, AI Scheduling

Google -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 2 jours

Avantages

Logement

Qualifications

Java
Niveau Master
C++
Niveau Licence
JavaScript
Développement logiciel
Python

Description complète du poste

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures and algorithms.
1 year of experience implementing core ML concepts.
Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

Experience or strong interest in Artificial Intelligence, AI Agents, Machine Learning, Large Language Models (LLMs), or prompt engineering.
Experience building and integrating backend services, APIs, or working with distributed systems.
Experience with data-driven development, automated testing frameworks, or building evaluation pipelines.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer on the Calendar Agents team, you will design, build, and optimize AI-driven scheduling flows within Google's enterprise ecosystem. You will be part of a team of engineers setting up agentic capabilities within Google's broader AI infrastructure.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Design, build, test, deploy, and improve features for the AI-powered Calendar Scheduling Agent, primarily using languages like Python, C++, Kotlin.
Collaborate on the design and implementation of sophisticated agentic systems, enabling natural and effective user interactions for complex scheduling tasks.
Enhance the intelligence of the agent by working with Large Language Models (LLMs), applying techniques like prompt engineering and model optimization.
Build and refine AI quality and evaluation pipelines, developing automated systems (like auto-raters) and processes to ensure the agent is helpful, accurate, and safe.
Develop and maintain robust backend services and API integrations within the Google Workspace ecosystem to support the agent's actions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Software Engineer II, AI Scheduling

Full-Stack Software Developer (IT-CA-OSI-2026-207-GRAE)

AI Platform Engineer

Backend Engineer (VPN)

Full Stack Software Developer (m/w)

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